Paper: Dynamically Generating A Protein Entity Dictionary Using Online Resources

ACL ID P05-3005
Title Dynamically Generating A Protein Entity Dictionary Using Online Resources
Venue Annual Meeting of the Association of Computational Linguistics
Session System Demonstration
Year 2005
Authors

With the overwhelming amount of biological knowledge stored in free text, natural language proc- essing (NLP) has received much attention recently to make the task of managing information recorded in free text more feasible. One requirement for most NLP systems is the ability to accurately recognize biological entity terms in free text and the ability to map these terms to corresponding records in data- bases. Such task is called biological named entity tagging. In this paper, we present a system that automatically constructs a protein entity dictionary, which contains gene or protein names associated with UniProt identifiers using online resources. The system can run periodically to always keep up-to-date with these online resources. Using online resources that were available on Dec. 25,...